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LLMWare

Small Specialized Function Calling 1B LLMs for Multi-Step RAG. Unified framework for building enterprise RAG pipelines with small, specialized models. In practicing law, I noticed there was a lot of repetition in the tasks I was working on even as a highly paid attorney that could be automated.

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  1. LLM App

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    build a realtime LLM app in 30 lines, with no vector database

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  2. Demystifying Advanced RAG Pipelines

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    An LLM-powered advanced RAG pipeline built from scratch

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  3. Local note engine uses LLM to organize notes into a knowledge graph

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    Local note engine that uses LLM to build and evolve a knowledge graph

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  4. app for interaction with documents using local LLM (mini Chat With RTX)

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    Text-To-Speech, RAG, and LLMs. All local!

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  5. Unstract(AGPL)

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    Launch LLM-powered APIs to structure unstructured docs

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